WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation

@inproceedings{Capriotti2013WSSNPsGOAW,
  title={WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation},
  author={Emidio Capriotti and Remo Calabrese and Piero Fariselli and Pier Luigi Martelli and Russ B. Altman and Rita Casadio},
  booktitle={BMC Genomics},
  year={2013}
}
BackgroundSNPs&GO is a method for the prediction of deleterious Single Amino acid Polymorphisms (SAPs) using protein functional annotation. In this work, we present the web server implementation of SNPs&GO (WS-SNPs&GO). The server is based on Support Vector Machines (SVM) and for a given protein, its input comprises: the sequence and/or its three-dimensional structure (when available), a set of target variations and its functional Gene Ontology (GO) terms. The output of the server provides, for… CONTINUE READING

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